Novel Methods for Structural Analysis and Optimization under Multi-Source Uncertainties
This special issue belongs to the section "Mechanical Engineering".
Special Issue Information
Dear Colleagues,
In recent years, alongside the growing complexity of engineering structures and the severity of the service environments, uncertainties related to material properties, external loads, boundary conditions, measurement noises, etc., have extensively increased. Uncertainty greatly influences structural safety and applicability, which nevertheless is challenging and expensive to investigate experimentally. Besides, practical cases of complicated computing modeling and limited sample information may also lead to unsatisfactory results in theoretical and validation research. It is therefore necessary to develop advanced methodology and strategy to completely recognize the uncertainties involved when tackling with structural analysis and design optimization issues.
The purpose of this Special Issue is to report and discuss recent progress in various aspects of uncertainty-oriented theoretical modeling, numerical methods, and engineering applications in different specific areas, such as aeronautics and astronautics, and mechanical and civil engineering. Original research and review articles on all relative aspects are welcome.
Dr. Lei Wang
Guest Editor
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the Special Issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- new theories of uncertainty quantification and propagation
- robust/reliable assessment for practical engineering problems
- uncertainty-based design optimization policies
- inverse problems in mechanics with multisource uncertainties
- robust/reliable control in engineering vibratory systems
- model verification and validation under uncertainty issues
- reliability test and inverse optimization schemes
- software or algorithm programming of uncertainty-based methods
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.
Published Papers
Appl. Sci. - ISSN 2076-3417